--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
      name:  <unnamed>
       log:  C:\Users\cboix\Documents\SpiderOak Hive\NATIONAL IDENTITY\JEWISH NAT IDENTITY\PAPER - political emancipation and national identity\FINAL APSR VERSION\FINAL EMPIRICS\RESULTS\results 
> -- tables 1 and 2 -- including robustness tests.log
  log type:  text
 opened on:  27 Sep 2024, 11:45:17

. do "C:\Users\cboix\AppData\Local\Temp\STD00000000.tmp"

. * use POLITICAL EMANCIPATION -- POLAND DATA SET.dta
. 
. global covariates "jewishpop"

. 
. ************
. * TABLE 1 *
. ************
. 
. * ENTIRE BORDER (REPORTED IN PAPER)
. 
. 
. rdrobust zionschoolsno_any distance if type=="ville", covs($covariates) kernel(triangular) p(1) bwselect(mserd) all

Covariate-adjusted sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        625
-------------------+----------------------            BW type       =      mserd
     Number of obs |       509         116            Kernel        = Triangular
Eff. Number of obs |       161          83            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) |  1.42e+05    1.42e+05
       BW bias (b) |  2.03e+05    2.03e+05
         rho (h/b) |     0.700       0.700

Outcome: zionschoolsno_any. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |   .5008      .1891   2.6483   0.008    .130171      .871426
    Bias-corrected |  .47241      .1891   2.4982   0.012    .101783      .843038
            Robust |  .47241     .22094   2.1382   0.033     .03937      .905452
--------------------------------------------------------------------------------
Covariate-adjusted estimates. Additional covariates included: 1

. 
. rdrobust capzionschoolsno_any distance if type=="ville", kernel(triangular) p(1) bwselect(mserd) all

Sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        611
-------------------+----------------------            BW type       =      mserd
     Number of obs |       495         116            Kernel        = Triangular
Eff. Number of obs |       130          72            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) |  1.16e+05    1.16e+05
       BW bias (b) |  1.58e+05    1.58e+05
         rho (h/b) |     0.733       0.733

Outcome: capzionschoolsno_any. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |   .3287     .09731   3.3780   0.001     .13798      .519411
    Bias-corrected |  .34846     .09731   3.5811   0.000    .157747      .539179
            Robust |  .34846     .10452   3.3340   0.001    .143614      .553312
--------------------------------------------------------------------------------

. 
. rdrobust max_zschools distance if jewishpop>100, covs($covariates) kernel(triangular) p(1) bwselect(mserd) all

Covariate-adjusted sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        604
-------------------+----------------------            BW type       =      mserd
     Number of obs |       431         173            Kernel        = Triangular
Eff. Number of obs |       168         103            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) |  1.12e+05    1.12e+05
       BW bias (b) |  1.62e+05    1.62e+05
         rho (h/b) |     0.695       0.695

Outcome: max_zschools. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |  .34044     .12987   2.6215   0.009     .08591      .594973
    Bias-corrected |  .36878     .12987   2.8397   0.005    .114252      .623315
            Robust |  .36878     .15061   2.4486   0.014    .073599      .663968
--------------------------------------------------------------------------------
Covariate-adjusted estimates. Additional covariates included: 1

. 
. rdrobust capmax_zschools_census distance if jewishpop>100, kernel(triangular) p(1) bwselect(mserd) all

Sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        604
-------------------+----------------------            BW type       =      mserd
     Number of obs |       431         173            Kernel        = Triangular
Eff. Number of obs |       176         105            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) |  1.18e+05    1.18e+05
       BW bias (b) |  1.35e+05    1.35e+05
         rho (h/b) |     0.869       0.869

Outcome: capmax_zschools_census. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |   .2384     .11517   2.0700   0.038    .012678      .464124
    Bias-corrected |   .2502     .11517   2.1725   0.030    .024474       .47592
            Robust |   .2502     .12874   1.9434   0.052   -.002136       .50253
--------------------------------------------------------------------------------

. 
. rdrobust jewishschoolsno_any distance if type=="ville", covs($covariates) kernel(triangular) p(1) bwselect(mserd) all

Covariate-adjusted sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        625
-------------------+----------------------            BW type       =      mserd
     Number of obs |       509         116            Kernel        = Triangular
Eff. Number of obs |       109          66            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 99904.266   99904.266
       BW bias (b) |  1.50e+05    1.50e+05
         rho (h/b) |     0.664       0.664

Outcome: jewishschoolsno_any. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |  -.0552     .38688   -0.1427  0.887   -.813475      .703068
    Bias-corrected |  -.1236     .38688   -0.3195  0.749   -.881868      .634674
            Robust |  -.1236     .45518   -0.2715  0.786   -1.01574      .768548
--------------------------------------------------------------------------------
Covariate-adjusted estimates. Additional covariates included: 1

. 
. rdrobust capjewishschoolsno_any distance if type=="ville", kernel(triangular) p(1) bwselect(mserd) all

Sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        611
-------------------+----------------------            BW type       =      mserd
     Number of obs |       495         116            Kernel        = Triangular
Eff. Number of obs |        92          62            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 86378.623   86378.623
       BW bias (b) |  1.24e+05    1.24e+05
         rho (h/b) |     0.695       0.695

Outcome: capjewishschoolsno_any. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |  .11606     .21693   0.5350   0.593   -.309123      .541233
    Bias-corrected |  .08192     .21693   0.3776   0.706   -.343263      .507093
            Robust |  .08192     .24992   0.3278   0.743   -.407916      .571746
--------------------------------------------------------------------------------

. 
. 
. * BORDER WITHOUT AUSTRIAN PROVINCE
. 
. rdrobust zionschoolsno_any distance if type=="ville" & austria_preww1!=1 , covs($covariates) kernel(triangular) p(1) bwselect(mserd) all

Covariate-adjusted sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        447
-------------------+----------------------            BW type       =      mserd
     Number of obs |       331         116            Kernel        = Triangular
Eff. Number of obs |        83          83            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) |  1.55e+05    1.55e+05
       BW bias (b) |  2.20e+05    2.20e+05
         rho (h/b) |     0.707       0.707

Outcome: zionschoolsno_any. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |  .40802     .20809   1.9608   0.050    .000179      .815868
    Bias-corrected |  .40261     .20809   1.9348   0.053   -.005232      .810456
            Robust |  .40261     .24285   1.6578   0.097   -.073375      .878599
--------------------------------------------------------------------------------
Covariate-adjusted estimates. Additional covariates included: 1

. 
. rdrobust capzionschoolsno_any distance if type=="ville" & austria_preww1!=1, kernel(triangular) p(1) bwselect(mserd) all

Sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        433
-------------------+----------------------            BW type       =      mserd
     Number of obs |       317         116            Kernel        = Triangular
Eff. Number of obs |        68          73            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) |  1.21e+05    1.21e+05
       BW bias (b) |  1.59e+05    1.59e+05
         rho (h/b) |     0.762       0.762

Outcome: capzionschoolsno_any. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |  .28423     .10816   2.6278   0.009    .072233      .496219
    Bias-corrected |  .30807     .10816   2.8482   0.004    .096074      .520061
            Robust |  .30807     .11415   2.6987   0.007    .084333      .531802
--------------------------------------------------------------------------------

. 
. rdrobust max_zschools distance if jewishpop>100 & austria_preww1!=1 , covs($covariates) kernel(triangular) p(1) bwselect(mserd) all

Covariate-adjusted sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        423
-------------------+----------------------            BW type       =      mserd
     Number of obs |       250         173            Kernel        = Triangular
Eff. Number of obs |        93         100            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) |  1.07e+05    1.07e+05
       BW bias (b) |  1.66e+05    1.66e+05
         rho (h/b) |     0.644       0.644

Outcome: max_zschools. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |  .32222     .12533   2.5709   0.010    .076567      .567868
    Bias-corrected |  .35135     .12533   2.8033   0.005    .105698      .596999
            Robust |  .35135     .14205   2.4734   0.013    .072937      .629759
--------------------------------------------------------------------------------
Covariate-adjusted estimates. Additional covariates included: 1

. 
. rdrobust capmax_zschools_census distance if jewishpop>100 & austria_preww1!=1 , kernel(triangular) p(1) bwselect(mserd) all

Sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        423
-------------------+----------------------            BW type       =      mserd
     Number of obs |       250         173            Kernel        = Triangular
Eff. Number of obs |       103         105            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) |  1.19e+05    1.19e+05
       BW bias (b) |  1.35e+05    1.35e+05
         rho (h/b) |     0.878       0.878

Outcome: capmax_zschools_census. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |  .22536     .11939   1.8876   0.059   -.008634      .459357
    Bias-corrected |  .23873     .11939   1.9997   0.046    .004739       .47273
            Robust |  .23873     .13444   1.7758   0.076   -.024763      .502232
--------------------------------------------------------------------------------

. 
. rdrobust jewishschoolsno_any distance if type=="ville" & austria_preww1!=1, covs($covariates) kernel(triangular) p(1) bwselect(mserd) all

Covariate-adjusted sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        447
-------------------+----------------------            BW type       =      mserd
     Number of obs |       331         116            Kernel        = Triangular
Eff. Number of obs |        78          83            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) |  1.49e+05    1.49e+05
       BW bias (b) |  2.15e+05    2.15e+05
         rho (h/b) |     0.695       0.695

Outcome: jewishschoolsno_any. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional | -.14328     .45751   -0.3132  0.754   -1.03999      .753436
    Bias-corrected | -.11802     .45751   -0.2580  0.796   -1.01473      .778695
            Robust | -.11802     .54662   -0.2159  0.829   -1.18938      .953345
--------------------------------------------------------------------------------
Covariate-adjusted estimates. Additional covariates included: 1

. 
. rdrobust capjewishschoolsno_any distance if type=="ville" & austria_preww1!=1 , kernel(triangular) p(1) bwselect(mserd) all

Sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        433
-------------------+----------------------            BW type       =      mserd
     Number of obs |       317         116            Kernel        = Triangular
Eff. Number of obs |        50          62            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 86856.236   86856.236
       BW bias (b) |  1.21e+05    1.21e+05
         rho (h/b) |     0.718       0.718

Outcome: capjewishschoolsno_any. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |  .10987     .23345   0.4706   0.638    -.34769      .567427
    Bias-corrected |  .07599     .23345   0.3255   0.745   -.381564      .533553
            Robust |  .07599     .26584   0.2859   0.775   -.445049      .597037
--------------------------------------------------------------------------------

. 
. 
. * BORDER WITHOUT AUSTRIAN SEGMENT
. 
. * Generate excluded powiats east of Galizia
. 
. *gen border_austriarussia=0
. replace border_austriarussia=1 if voivodina=="Wolynskie" & powiat=="Krzemieniec"
(0 real changes made)

. replace border_austriarussia=1 if voivodina=="Wolynskie" & powiat=="Dubno"
(0 real changes made)

. replace border_austriarussia=1 if voivodina=="Wolynskie" & powiat=="Horochow"
(0 real changes made)

. 
. 
. rdrobust zionschoolsno_any distance if type=="ville" & austria_preww1!=1  & border_austriarussia!=1 , covs($covariates) kernel(triangular) p(1) bwselect(mserd) all

Covariate-adjusted sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        436
-------------------+----------------------            BW type       =      mserd
     Number of obs |       331         105            Kernel        = Triangular
Eff. Number of obs |        84          74            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) |  1.61e+05    1.61e+05
       BW bias (b) |  2.20e+05    2.20e+05
         rho (h/b) |     0.731       0.731

Outcome: zionschoolsno_any. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |  .42566     .25358   1.6786   0.093    -.07134      .922663
    Bias-corrected |  .41781     .25358   1.6477   0.099   -.079194      .914809
            Robust |  .41781     .29714   1.4061   0.160   -.164581       1.0002
--------------------------------------------------------------------------------
Covariate-adjusted estimates. Additional covariates included: 1

. 
. rdrobust capzionschoolsno_any distance if type=="ville" & austria_preww1!=1  & border_austriarussia!=1, kernel(triangular) p(1) bwselect(mserd) all

Sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        422
-------------------+----------------------            BW type       =      mserd
     Number of obs |       317         105            Kernel        = Triangular
Eff. Number of obs |        64          61            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) |  1.14e+05    1.14e+05
       BW bias (b) |  1.50e+05    1.50e+05
         rho (h/b) |     0.763       0.763

Outcome: capzionschoolsno_any. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |  .24551      .1181   2.0788   0.038    .014034      .476982
    Bias-corrected |  .27072      .1181   2.2923   0.022    .039249      .502197
            Robust |  .27072     .12217   2.2160   0.027    .031275      .510171
--------------------------------------------------------------------------------

. 
. rdrobust max_zschools distance if jewishpop>100 & austria_preww1!=1  & border_austriarussia!=1, covs($covariates) kernel(triangular) p(1) bwselect(mserd) all

Covariate-adjusted sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        405
-------------------+----------------------            BW type       =      mserd
     Number of obs |       250         155            Kernel        = Triangular
Eff. Number of obs |       108          91            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) |  1.26e+05    1.26e+05
       BW bias (b) |  1.85e+05    1.85e+05
         rho (h/b) |     0.681       0.681

Outcome: max_zschools. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |  .36991     .16609   2.2272   0.026    .044381      .695444
    Bias-corrected |  .39774     .16609   2.3947   0.017    .072212      .723275
            Robust |  .39774     .19458   2.0441   0.041    .016377       .77911
--------------------------------------------------------------------------------
Covariate-adjusted estimates. Additional covariates included: 1

. 
. rdrobust capmax_zschools_census distance if jewishpop>100 & austria_preww1!=1 & border_austriarussia!=1 , kernel(triangular) p(1) bwselect(mserd) all

Sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        405
-------------------+----------------------            BW type       =      mserd
     Number of obs |       250         155            Kernel        = Triangular
Eff. Number of obs |        88          77            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 98733.934   98733.934
       BW bias (b) |  1.26e+05    1.26e+05
         rho (h/b) |     0.785       0.785

Outcome: capmax_zschools_census. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |  .14211     .12065   1.1779   0.239   -.094354      .378573
    Bias-corrected |  .16697     .12065   1.3840   0.166   -.069489      .403438
            Robust |  .16697     .14448   1.1557   0.248   -.116194      .450144
--------------------------------------------------------------------------------

. 
. rdrobust jewishschoolsno_any distance if type=="ville" & austria_preww1!=1  & border_austriarussia!=1, covs($covariates) kernel(triangular) p(1) bwselect(mserd) all

Covariate-adjusted sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        436
-------------------+----------------------            BW type       =      mserd
     Number of obs |       331         105            Kernel        = Triangular
Eff. Number of obs |        84          74            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) |  1.58e+05    1.58e+05
       BW bias (b) |  2.23e+05    2.23e+05
         rho (h/b) |     0.710       0.710

Outcome: jewishschoolsno_any. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |  -.0426     .50914   -0.0837  0.933    -1.0405      .955297
    Bias-corrected | -.01216     .50914   -0.0239  0.981   -1.01006      .985737
            Robust | -.01216     .60764   -0.0200  0.984   -1.20312       1.1788
--------------------------------------------------------------------------------
Covariate-adjusted estimates. Additional covariates included: 1

. 
. rdrobust capjewishschoolsno_any distance if type=="ville" & austria_preww1!=1  & border_austriarussia!=1, kernel(triangular) p(1) bwselect(mserd) all

Sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        422
-------------------+----------------------            BW type       =      mserd
     Number of obs |       317         105            Kernel        = Triangular
Eff. Number of obs |        48          51            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 85712.514   85712.514
       BW bias (b) |  1.20e+05    1.20e+05
         rho (h/b) |     0.712       0.712

Outcome: capjewishschoolsno_any. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |  .10152     .26781   0.3791   0.705   -.423374      .626415
    Bias-corrected |  .05412     .26781   0.2021   0.840   -.470772      .579017
            Robust |  .05412     .30538   0.1772   0.859   -.544412      .652658
--------------------------------------------------------------------------------

. 
. 
. * BORDER WITHOUT "LITE"
. 
. rdrobust zionschoolsno_any distance if type=="ville" & lite!=1 , covs($covariates) kernel(triangular) p(1) bwselect(mserd) all

Covariate-adjusted sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        595
-------------------+----------------------            BW type       =      mserd
     Number of obs |       504          91            Kernel        = Triangular
Eff. Number of obs |        68          46            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 70517.081   70517.081
       BW bias (b) |  1.03e+05    1.03e+05
         rho (h/b) |     0.686       0.686

Outcome: zionschoolsno_any. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |   .5674     .21591   2.6279   0.009    .144221      .990586
    Bias-corrected |  .62278     .21591   2.8844   0.004    .199599      1.04596
            Robust |  .62278     .24769   2.5143   0.012    .137312      1.10825
--------------------------------------------------------------------------------
Covariate-adjusted estimates. Additional covariates included: 1

. 
. rdrobust capzionschoolsno_any distance if type=="ville" & lite!=1, kernel(triangular) p(1) bwselect(mserd) all

Sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        581
-------------------+----------------------            BW type       =      mserd
     Number of obs |       490          91            Kernel        = Triangular
Eff. Number of obs |       151          68            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) |  1.37e+05    1.37e+05
       BW bias (b) |  1.75e+05    1.75e+05
         rho (h/b) |     0.787       0.787

Outcome: capzionschoolsno_any. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |  .34504     .10626   3.2471   0.001    .136773      .553314
    Bias-corrected |  .36125     .10626   3.3996   0.001    .152979       .56952
            Robust |  .36125     .11405   3.1675   0.002     .13772      .584779
--------------------------------------------------------------------------------

. 
. rdrobust max_zschools distance if jewishpop>100 & lite!=1 , covs($covariates) kernel(triangular) p(1) bwselect(mserd) all

Covariate-adjusted sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        543
-------------------+----------------------            BW type       =      mserd
     Number of obs |       423         120            Kernel        = Triangular
Eff. Number of obs |       101          65            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 69626.246   69626.246
       BW bias (b) |  1.02e+05    1.02e+05
         rho (h/b) |     0.682       0.682

Outcome: max_zschools. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |  .33852      .1186   2.8543   0.004    .106064      .570973
    Bias-corrected |  .37234      .1186   3.1394   0.002    .139882      .604791
            Robust |  .37234     .13326   2.7941   0.005    .111153       .63352
--------------------------------------------------------------------------------
Covariate-adjusted estimates. Additional covariates included: 1

. 
. rdrobust capmax_zschools_census distance if jewishpop>100 & lite!=1 , kernel(triangular) p(1) bwselect(mserd) all

Sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        543
-------------------+----------------------            BW type       =      mserd
     Number of obs |       423         120            Kernel        = Triangular
Eff. Number of obs |       152          79            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) |  1.07e+05    1.07e+05
       BW bias (b) |  1.22e+05    1.22e+05
         rho (h/b) |     0.881       0.881

Outcome: capmax_zschools_census. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |  .24519     .10693   2.2931   0.022    .035617      .454764
    Bias-corrected |  .23133     .10693   2.1634   0.031    .021754        .4409
            Robust |  .23133       .099   2.3366   0.019     .03729      .425364
--------------------------------------------------------------------------------

. 
. rdrobust jewishschoolsno_any distance if type=="ville" & lite!=1, covs($covariates) kernel(triangular) p(1) bwselect(mserd) all

Covariate-adjusted sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        595
-------------------+----------------------            BW type       =      mserd
     Number of obs |       504          91            Kernel        = Triangular
Eff. Number of obs |       110          56            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) |  1.05e+05    1.05e+05
       BW bias (b) |  1.49e+05    1.49e+05
         rho (h/b) |     0.709       0.709

Outcome: jewishschoolsno_any. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |  -.0284     .41581   -0.0683  0.946   -.843377      .786572
    Bias-corrected |  -.0617     .41581   -0.1484  0.882   -.876675      .753274
            Robust |  -.0617     .48813   -0.1264  0.899   -1.01841      .895013
--------------------------------------------------------------------------------
Covariate-adjusted estimates. Additional covariates included: 1

. 
. rdrobust capjewishschoolsno_any distance if type=="ville" & lite!=1 , kernel(triangular) p(1) bwselect(mserd) all

Sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        581
-------------------+----------------------            BW type       =      mserd
     Number of obs |       490          91            Kernel        = Triangular
Eff. Number of obs |       110          56            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) |  1.06e+05    1.06e+05
       BW bias (b) |  1.43e+05    1.43e+05
         rho (h/b) |     0.740       0.740

Outcome: capjewishschoolsno_any. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |  .19755     .22465   0.8793   0.379    -.24276      .637853
    Bias-corrected |  .16877     .22465   0.7512   0.453   -.271541      .609072
            Robust |  .16877     .25557   0.6604   0.509   -.332135      .669666
--------------------------------------------------------------------------------

. 
. 
. 
. ***********
. * TABLE 2 *
. ***********
. 
. * ENTIRE BORDER (REPORTED IN PAPER)
. 
. rdrobust max_somehebrew distance, covs($covariates) kernel(triangular) p(1) bwselect(mserd) all

Covariate-adjusted sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        753
-------------------+----------------------            BW type       =      mserd
     Number of obs |       561         192            Kernel        = Triangular
Eff. Number of obs |       113          87            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 72853.376   72853.376
       BW bias (b) |  1.08e+05    1.08e+05
         rho (h/b) |     0.672       0.672

Outcome: max_somehebrew. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |  .83901     .24332   3.4482   0.001    .362116      1.31591
    Bias-corrected |  .85446     .24332   3.5117   0.000    .377565      1.33136
            Robust |  .85446     .27043   3.1596   0.002    .324425       1.3845
--------------------------------------------------------------------------------
Covariate-adjusted estimates. Additional covariates included: 1

. 
. rdrobust cap_maxsomehebrew distance, kernel(triangular) p(1) bwselect(mserd) all

Sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        739
-------------------+----------------------            BW type       =      mserd
     Number of obs |       547         192            Kernel        = Triangular
Eff. Number of obs |       102          80            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 64416.513   64416.513
       BW bias (b) | 96363.356   96363.356
         rho (h/b) |     0.668       0.668

Outcome: cap_maxsomehebrew. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |  .27275     .10792   2.5272   0.011     .06122      .484273
    Bias-corrected |   .2529     .10792   2.3433   0.019    .041374      .464428
            Robust |   .2529     .12645   1.9999   0.046    .005055      .500748
--------------------------------------------------------------------------------

. 
. 
. * BORDER WITHOUT AUSTRIAN PROVINCE
. 
. rdrobust max_somehebrew distance if austria_preww1!=1 , covs($covariates) kernel(triangular) p(1) bwselect(mserd) all

Covariate-adjusted sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        566
-------------------+----------------------            BW type       =      mserd
     Number of obs |       374         192            Kernel        = Triangular
Eff. Number of obs |        77          91            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 80647.523   80647.523
       BW bias (b) |  1.16e+05    1.16e+05
         rho (h/b) |     0.694       0.694

Outcome: max_somehebrew. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |  .65725     .23688   2.7747   0.006    .192984      1.12152
    Bias-corrected |  .81352     .23688   3.4344   0.001    .349253      1.27779
            Robust |  .81352     .33912   2.3989   0.016    .148866      1.47818
--------------------------------------------------------------------------------
Covariate-adjusted estimates. Additional covariates included: 1

. 
. rdrobust cap_maxsomehebrew distance if austria_preww1!=1, kernel(triangular) p(1) bwselect(mserd) all

Sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        552
-------------------+----------------------            BW type       =      mserd
     Number of obs |       360         192            Kernel        = Triangular
Eff. Number of obs |        69          85            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 71009.465   71009.465
       BW bias (b) |  1.02e+05    1.02e+05
         rho (h/b) |     0.693       0.693

Outcome: cap_maxsomehebrew. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |   .2683     .11702   2.2928   0.022    .038946       .49765
    Bias-corrected |  .25175     .11702   2.1513   0.031    .022395      .481098
            Robust |  .25175      .1364   1.8457   0.065   -.015587       .51908
--------------------------------------------------------------------------------

. 
. 
. * BORDER WITHOUT AUSTRIAN SEGMENT
. 
. rdrobust max_somehebrew distance if austria_preww1!=1  & border_austriarussia!=1, covs($covariates) kernel(triangular) p(1) bwselect(mserd) all

Covariate-adjusted sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        548
-------------------+----------------------            BW type       =      mserd
     Number of obs |       374         174            Kernel        = Triangular
Eff. Number of obs |        77          75            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 84560.879   84560.879
       BW bias (b) |  1.22e+05    1.22e+05
         rho (h/b) |     0.693       0.693

Outcome: max_somehebrew. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |  .70302     .27975   2.5130   0.012    .154713      1.25133
    Bias-corrected |  .85336     .27975   3.0504   0.002    .305053      1.40167
            Robust |  .85336     .37285   2.2887   0.022    .122583      1.58414
--------------------------------------------------------------------------------
Covariate-adjusted estimates. Additional covariates included: 1

. 
. rdrobust cap_maxsomehebrew distance if austria_preww1!=1  & border_austriarussia!=1, kernel(triangular) p(1) bwselect(mserd) all

Sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        534
-------------------+----------------------            BW type       =      mserd
     Number of obs |       360         174            Kernel        = Triangular
Eff. Number of obs |        67          63            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 66007.716   66007.716
       BW bias (b) | 98935.578   98935.578
         rho (h/b) |     0.667       0.667

Outcome: cap_maxsomehebrew. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |  .26081     .13254   1.9677   0.049    .001032       .52058
    Bias-corrected |  .22719     .13254   1.7141   0.087   -.032588       .48696
            Robust |  .22719     .15236   1.4911   0.136   -.071439       .52581
--------------------------------------------------------------------------------

. 
. 
. 
. * BORDER WITHOUT "LITE"
. 
. rdrobust max_somehebrew distance if lite!=1 , covs($covariates) kernel(triangular) p(1) bwselect(mserd) all

Covariate-adjusted sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        682
-------------------+----------------------            BW type       =      mserd
     Number of obs |       553         129            Kernel        = Triangular
Eff. Number of obs |       120          73            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 84855.879   84855.879
       BW bias (b) |  1.36e+05    1.36e+05
         rho (h/b) |     0.625       0.625

Outcome: max_somehebrew. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |  .97553      .3336   2.9242   0.003    .321681      1.62938
    Bias-corrected |  .96095      .3336   2.8805   0.004    .307105       1.6148
            Robust |  .96095     .35764   2.6869   0.007    .259993      1.66191
--------------------------------------------------------------------------------
Covariate-adjusted estimates. Additional covariates included: 1

. 
. rdrobust cap_maxsomehebrew distance if lite!=1, kernel(triangular) p(1) bwselect(mserd) all

Sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        668
-------------------+----------------------            BW type       =      mserd
     Number of obs |       539         129            Kernel        = Triangular
Eff. Number of obs |       117          72            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 82664.302   82664.302
       BW bias (b) |  1.16e+05    1.16e+05
         rho (h/b) |     0.715       0.715

Outcome: cap_maxsomehebrew. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |  .37357     .09994   3.7380   0.000    .177695      .569453
    Bias-corrected |  .35721     .09994   3.5742   0.000    .161328      .553086
            Robust |  .35721     .11269   3.1698   0.002    .136334       .57808
--------------------------------------------------------------------------------

. 
. 
. 
. 
. ** ADDITIONAL TESTS
.         
. * V. Results with higher-order polynomials
. 
. * quadratic polynomials
. 
. rdrobust zionschoolsno_any distance if type=="ville", covs($covariates) kernel(triangular) p(2) bwselect(mserd) all

Covariate-adjusted sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        625
-------------------+----------------------            BW type       =      mserd
     Number of obs |       509         116            Kernel        = Triangular
Eff. Number of obs |       115          68            VCE method    =         NN
    Order est. (p) |         2           2
    Order bias (q) |         3           3
       BW est. (h) |  1.06e+05    1.06e+05
       BW bias (b) |  1.47e+05    1.47e+05
         rho (h/b) |     0.724       0.724

Outcome: zionschoolsno_any. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |  .66907     .25613   2.6122   0.009    .167062      1.17107
    Bias-corrected |  .73812     .25613   2.8818   0.004    .236114      1.24012
            Robust |  .73812      .2806   2.6305   0.009    .188147      1.28809
--------------------------------------------------------------------------------
Covariate-adjusted estimates. Additional covariates included: 1

. rdrobust capzionschoolsno_any distance if type=="ville", kernel(triangular) p(2) bwselect(mserd) all

Sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        611
-------------------+----------------------            BW type       =      mserd
     Number of obs |       495         116            Kernel        = Triangular
Eff. Number of obs |       189          84            VCE method    =         NN
    Order est. (p) |         2           2
    Order bias (q) |         3           3
       BW est. (h) |  1.57e+05    1.57e+05
       BW bias (b) |  2.14e+05    2.14e+05
         rho (h/b) |     0.734       0.734

Outcome: capzionschoolsno_any. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |  .34859     .10326   3.3757   0.001    .146199      .550986
    Bias-corrected |  .35961     .10326   3.4824   0.000    .157213         .562
            Robust |  .35961     .10792   3.3322   0.001    .148092      .571121
--------------------------------------------------------------------------------

. rdrobust max_zschools distance if jewishpop>100, covs($covariates) kernel(triangular) p(2) bwselect(mserd) all

Covariate-adjusted sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        604
-------------------+----------------------            BW type       =      mserd
     Number of obs |       431         173            Kernel        = Triangular
Eff. Number of obs |       161         100            VCE method    =         NN
    Order est. (p) |         2           2
    Order bias (q) |         3           3
       BW est. (h) |  1.09e+05    1.09e+05
       BW bias (b) |  1.52e+05    1.52e+05
         rho (h/b) |     0.714       0.714

Outcome: max_zschools. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |  .47074     .16147   2.9154   0.004    .154269      .787204
    Bias-corrected |  .50834     .16147   3.1483   0.002    .191869      .824804
            Robust |  .50834      .1742   2.9181   0.004    .166913       .84976
--------------------------------------------------------------------------------
Covariate-adjusted estimates. Additional covariates included: 1

. rdrobust capmax_zschools_census distance if jewishpop>100, kernel(triangular) p(2) bwselect(mserd) all

Sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        604
-------------------+----------------------            BW type       =      mserd
     Number of obs |       431         173            Kernel        = Triangular
Eff. Number of obs |       182         105            VCE method    =         NN
    Order est. (p) |         2           2
    Order bias (q) |         3           3
       BW est. (h) |  1.20e+05    1.20e+05
       BW bias (b) |  1.65e+05    1.65e+05
         rho (h/b) |     0.730       0.730

Outcome: capmax_zschools_census. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |  .23158     .12715   1.8213   0.069   -.017631      .480787
    Bias-corrected |    .208     .12715   1.6359   0.102    -.04121      .457208
            Robust |    .208     .13024   1.5971   0.110   -.047264      .463262
--------------------------------------------------------------------------------

. rdrobust jewishschoolsno_any distance if type=="ville", covs($covariates) kernel(triangular) p(2) bwselect(mserd) all

Covariate-adjusted sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        625
-------------------+----------------------            BW type       =      mserd
     Number of obs |       509         116            Kernel        = Triangular
Eff. Number of obs |       182          83            VCE method    =         NN
    Order est. (p) |         2           2
    Order bias (q) |         3           3
       BW est. (h) |  1.52e+05    1.52e+05
       BW bias (b) |  2.02e+05    2.02e+05
         rho (h/b) |     0.752       0.752

Outcome: jewishschoolsno_any. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |  -.1512     .49952   -0.3027  0.762   -1.13025       .82784
    Bias-corrected | -.15322     .49952   -0.3067  0.759   -1.13226      .825822
            Robust | -.15322     .56304   -0.2721  0.786   -1.25677      .950324
--------------------------------------------------------------------------------
Covariate-adjusted estimates. Additional covariates included: 1

. rdrobust capjewishschoolsno_any distance if type=="ville", kernel(triangular) p(2) bwselect(mserd) all

Sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        611
-------------------+----------------------            BW type       =      mserd
     Number of obs |       495         116            Kernel        = Triangular
Eff. Number of obs |        95          64            VCE method    =         NN
    Order est. (p) |         2           2
    Order bias (q) |         3           3
       BW est. (h) | 90193.362   90193.362
       BW bias (b) |  1.19e+05    1.19e+05
         rho (h/b) |     0.757       0.757

Outcome: capjewishschoolsno_any. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |  -.0085     .28799   -0.0295  0.976   -.572944      .555938
    Bias-corrected |  -.0477     .28799   -0.1656  0.868   -.612142      .516739
            Robust |  -.0477     .32143   -0.1484  0.882   -.677687      .582283
--------------------------------------------------------------------------------

. 
. rdrobust max_somehebrew distance, covs($covariates) kernel(triangular) p(2) bwselect(mserd) all

Covariate-adjusted sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        753
-------------------+----------------------            BW type       =      mserd
     Number of obs |       561         192            Kernel        = Triangular
Eff. Number of obs |       177         112            VCE method    =         NN
    Order est. (p) |         2           2
    Order bias (q) |         3           3
       BW est. (h) |  1.17e+05    1.17e+05
       BW bias (b) |  1.75e+05    1.75e+05
         rho (h/b) |     0.667       0.667

Outcome: max_somehebrew. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |  .95018     .34983   2.7161   0.007    .264517      1.63584
    Bias-corrected |  .92832     .34983   2.6536   0.008    .242654      1.61398
            Robust |  .92832     .35076   2.6466   0.008    .240836       1.6158
--------------------------------------------------------------------------------
Covariate-adjusted estimates. Additional covariates included: 1

. rdrobust cap_maxsomehebrew distance, kernel(triangular) p(1) bwselect(mserd) all

Sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        739
-------------------+----------------------            BW type       =      mserd
     Number of obs |       547         192            Kernel        = Triangular
Eff. Number of obs |       102          80            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 64416.513   64416.513
       BW bias (b) | 96363.356   96363.356
         rho (h/b) |     0.668       0.668

Outcome: cap_maxsomehebrew. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |  .27275     .10792   2.5272   0.011     .06122      .484273
    Bias-corrected |   .2529     .10792   2.3433   0.019    .041374      .464428
            Robust |   .2529     .12645   1.9999   0.046    .005055      .500748
--------------------------------------------------------------------------------

. 
. * VI. Results with different kernel functions
. 
. * Uniform
. 
. rdrobust zionschoolsno_any distance if type=="ville", covs($covariates) kernel(uniform) p(1) bwselect(mserd) all

Covariate-adjusted sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        625
-------------------+----------------------            BW type       =      mserd
     Number of obs |       509         116            Kernel        =    Uniform
Eff. Number of obs |        83          60            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 78454.491   78454.491
       BW bias (b) |  1.30e+05    1.30e+05
         rho (h/b) |     0.605       0.605

Outcome: zionschoolsno_any. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |  .57769     .20281   2.8485   0.004    .180202      .975188
    Bias-corrected |  .56178     .20281   2.7700   0.006    .164288      .959273
            Robust |  .56178     .23715   2.3689   0.018    .096979      1.02658
--------------------------------------------------------------------------------
Covariate-adjusted estimates. Additional covariates included: 1

. rdrobust capzionschoolsno_any distance if type=="ville", kernel(uniform) p(1) bwselect(mserd) all

Sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        611
-------------------+----------------------            BW type       =      mserd
     Number of obs |       495         116            Kernel        =    Uniform
Eff. Number of obs |       103          64            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 93767.118   93767.118
       BW bias (b) |  1.39e+05    1.39e+05
         rho (h/b) |     0.672       0.672

Outcome: capzionschoolsno_any. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |  .33863     .10332   3.2776   0.001    .136132       .54113
    Bias-corrected |  .35437     .10332   3.4299   0.001    .151875      .556873
            Robust |  .35437     .11321   3.1302   0.002    .132487      .576261
--------------------------------------------------------------------------------

. rdrobust max_zschools distance if jewishpop>100, covs($covariates) kernel(uniform) p(1) bwselect(mserd) all

Covariate-adjusted sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        604
-------------------+----------------------            BW type       =      mserd
     Number of obs |       431         173            Kernel        =    Uniform
Eff. Number of obs |       146          95            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 98472.099   98472.099
       BW bias (b) |  1.61e+05    1.61e+05
         rho (h/b) |     0.612       0.612

Outcome: max_zschools. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |  .32714     .12468   2.6238   0.009    .082765      .571521
    Bias-corrected |  .32485     .12468   2.6054   0.009     .08047      .569225
            Robust |  .32485     .14661   2.2157   0.027     .03749      .612205
--------------------------------------------------------------------------------
Covariate-adjusted estimates. Additional covariates included: 1

. rdrobust capmax_zschools_census distance if jewishpop>100, kernel(uniform) p(1) bwselect(mserd) all

Sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        604
-------------------+----------------------            BW type       =      mserd
     Number of obs |       431         173            Kernel        =    Uniform
Eff. Number of obs |       131          89            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 87015.319   87015.319
       BW bias (b) |  1.32e+05    1.32e+05
         rho (h/b) |     0.659       0.659

Outcome: capmax_zschools_census. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |  .23357     .12011   1.9446   0.052    -.00184      .468981
    Bias-corrected |  .25452     .12011   2.1190   0.034    .019108      .489929
            Robust |  .25452     .13461   1.8907   0.059    -.00932      .518356
--------------------------------------------------------------------------------

. rdrobust jewishschoolsno_any distance if type=="ville", covs($covariates) kernel(uniform) p(1) bwselect(mserd) all

Covariate-adjusted sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        625
-------------------+----------------------            BW type       =      mserd
     Number of obs |       509         116            Kernel        =    Uniform
Eff. Number of obs |        98          64            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 91374.771   91374.771
       BW bias (b) |  1.91e+05    1.91e+05
         rho (h/b) |     0.479       0.479

Outcome: jewishschoolsno_any. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional | -.06227     .36823   -0.1691  0.866   -.783989      .659439
    Bias-corrected | -.21541     .36823   -0.5850  0.559   -.937121      .506308
            Robust | -.21541     .41056   -0.5247  0.600    -1.0201      .589282
--------------------------------------------------------------------------------
Covariate-adjusted estimates. Additional covariates included: 1

. rdrobust capjewishschoolsno_any distance if type=="ville", kernel(uniform) p(1) bwselect(mserd) all

Sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        611
-------------------+----------------------            BW type       =      mserd
     Number of obs |       495         116            Kernel        =    Uniform
Eff. Number of obs |        48          46            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 47454.151   47454.151
       BW bias (b) | 79992.227   79992.227
         rho (h/b) |     0.593       0.593

Outcome: capjewishschoolsno_any. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |   .0596     .25074   0.2377   0.812   -.431834      .551036
    Bias-corrected |  .01237     .25074   0.0493   0.961   -.479062      .503808
            Robust |  .01237     .28903   0.0428   0.966   -.554109      .578855
--------------------------------------------------------------------------------

. 
. rdrobust max_somehebrew distance, covs($covariates) kernel(uniform) p(1) bwselect(mserd) all

Covariate-adjusted sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        753
-------------------+----------------------            BW type       =      mserd
     Number of obs |       561         192            Kernel        =    Uniform
Eff. Number of obs |        91          71            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 54722.359   54722.359
       BW bias (b) |  1.04e+05    1.04e+05
         rho (h/b) |     0.528       0.528

Outcome: max_somehebrew. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |  .87214     .28532   3.0567   0.002     .31293      1.43135
    Bias-corrected |  .79773     .28532   2.7960   0.005    .238522      1.35694
            Robust |  .79773     .30957   2.5769   0.010    .190976      1.40449
--------------------------------------------------------------------------------
Covariate-adjusted estimates. Additional covariates included: 1

. rdrobust cap_maxsomehebrew distance, kernel(uniform) p(1) bwselect(mserd) all

Sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        739
-------------------+----------------------            BW type       =      mserd
     Number of obs |       547         192            Kernel        =    Uniform
Eff. Number of obs |        91          71            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 55045.178   55045.178
       BW bias (b) | 91408.539   91408.539
         rho (h/b) |     0.602       0.602

Outcome: cap_maxsomehebrew. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |  .26103     .11254   2.3194   0.020    .040456      .481603
    Bias-corrected |  .23496     .11254   2.0878   0.037    .014382      .455529
            Robust |  .23496     .12953   1.8140   0.070    -.01891       .48882
--------------------------------------------------------------------------------

. 
. * Epanechnikov
. 
. rdrobust zionschoolsno_any distance if type=="ville", covs($covariates) kernel(epanechnikov) p(1) bwselect(mserd) all

Covariate-adjusted sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        625
-------------------+----------------------            BW type       =      mserd
     Number of obs |       509         116            Kernel        = Epanechnikov
Eff. Number of obs |       151          79            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) |  1.33e+05    1.33e+05
       BW bias (b) |  2.05e+05    2.05e+05
         rho (h/b) |     0.649       0.649

Outcome: zionschoolsno_any. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |  .48343     .18857   2.5636   0.010    .113838      .853026
    Bias-corrected |  .44249     .18857   2.3465   0.019    .072899      .812087
            Robust |  .44249     .21907   2.0199   0.043    .013126       .87186
--------------------------------------------------------------------------------
Covariate-adjusted estimates. Additional covariates included: 1

. rdrobust capzionschoolsno_any distance if type=="ville", kernel(epanechnikov) p(1) bwselect(mserd) all

Sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        611
-------------------+----------------------            BW type       =      mserd
     Number of obs |       495         116            Kernel        = Epanechnikov
Eff. Number of obs |       130          72            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) |  1.15e+05    1.15e+05
       BW bias (b) |  1.61e+05    1.61e+05
         rho (h/b) |     0.717       0.717

Outcome: capzionschoolsno_any. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |  .32543     .10004   3.2529   0.001    .129352       .52151
    Bias-corrected |  .34699     .10004   3.4684   0.001    .150911      .543068
            Robust |  .34699     .10814   3.2088   0.001    .135044      .558936
--------------------------------------------------------------------------------

. rdrobust max_zschools distance if jewishpop>100, covs($covariates) kernel(epanechnikov) p(1) bwselect(mserd) all

Covariate-adjusted sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        604
-------------------+----------------------            BW type       =      mserd
     Number of obs |       431         173            Kernel        = Epanechnikov
Eff. Number of obs |       150          96            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 99774.092   99774.092
       BW bias (b) |  1.48e+05    1.48e+05
         rho (h/b) |     0.673       0.673

Outcome: max_zschools. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |  .32034     .12544   2.5536   0.011    .074469      .566202
    Bias-corrected |  .34419     .12544   2.7437   0.006    .098321      .590055
            Robust |  .34419     .14685   2.3438   0.019    .056363      .632014
--------------------------------------------------------------------------------
Covariate-adjusted estimates. Additional covariates included: 1

. rdrobust capmax_zschools_census distance if jewishpop>100, kernel(epanechnikov) p(1) bwselect(mserd) all

Sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        604
-------------------+----------------------            BW type       =      mserd
     Number of obs |       431         173            Kernel        = Epanechnikov
Eff. Number of obs |       165         101            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) |  1.10e+05    1.10e+05
       BW bias (b) |  1.36e+05    1.36e+05
         rho (h/b) |     0.804       0.804

Outcome: capmax_zschools_census. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |  .24096     .11724   2.0553   0.040    .011173      .470751
    Bias-corrected |  .25916     .11724   2.2105   0.027    .029369      .488948
            Robust |  .25916     .13293   1.9496   0.051   -.001383      .519701
--------------------------------------------------------------------------------

. rdrobust jewishschoolsno_any distance if type=="ville", covs($covariates) kernel(epanechnikov) p(1) bwselect(mserd) all

Covariate-adjusted sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        625
-------------------+----------------------            BW type       =      mserd
     Number of obs |       509         116            Kernel        = Epanechnikov
Eff. Number of obs |       105          65            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 97241.265   97241.265
       BW bias (b) |  1.55e+05    1.55e+05
         rho (h/b) |     0.628       0.628

Outcome: jewishschoolsno_any. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional | -.04455     .37883   -0.1176  0.906   -.787043      .697934
    Bias-corrected | -.16064     .37883   -0.4240  0.672   -.903124      .581853
            Robust | -.16064     .44232   -0.3632  0.716   -1.02756      .706288
--------------------------------------------------------------------------------
Covariate-adjusted estimates. Additional covariates included: 1

. rdrobust capjewishschoolsno_any distance if type=="ville", kernel(epanechnikov) p(1) bwselect(mserd) all

Sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        611
-------------------+----------------------            BW type       =      mserd
     Number of obs |       495         116            Kernel        = Epanechnikov
Eff. Number of obs |        87          61            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 82534.487   82534.487
       BW bias (b) |  1.22e+05    1.22e+05
         rho (h/b) |     0.679       0.679

Outcome: capjewishschoolsno_any. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |  .13538     .21712   0.6235   0.533    -.29017      .560928
    Bias-corrected |   .1062     .21712   0.4891   0.625   -.319352      .531746
            Robust |   .1062     .24934   0.4259   0.670   -.382505      .594899
--------------------------------------------------------------------------------

. 
. rdrobust max_somehebrew distance, covs($covariates) kernel(epanechnikov) p(1) bwselect(mserd) all

Covariate-adjusted sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        753
-------------------+----------------------            BW type       =      mserd
     Number of obs |       561         192            Kernel        = Epanechnikov
Eff. Number of obs |       109          84            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 69031.433   69031.433
       BW bias (b) |  1.04e+05    1.04e+05
         rho (h/b) |     0.666       0.666

Outcome: max_somehebrew. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |   .9018     .26338   3.4240   0.001    .385591      1.41802
    Bias-corrected |  .86994     .26338   3.3030   0.001    .353723      1.38615
            Robust |  .86994     .28653   3.0362   0.002    .308355      1.43152
--------------------------------------------------------------------------------
Covariate-adjusted estimates. Additional covariates included: 1

. rdrobust cap_maxsomehebrew distance, kernel(epanechnikov) p(1) bwselect(mserd) all

Sharp RD estimates using local polynomial regression.

      Cutoff c = 0 | Left of c  Right of c            Number of obs =        739
-------------------+----------------------            BW type       =      mserd
     Number of obs |       547         192            Kernel        = Epanechnikov
Eff. Number of obs |        92          72            VCE method    =         NN
    Order est. (p) |         1           1
    Order bias (q) |         2           2
       BW est. (h) | 57642.739   57642.739
       BW bias (b) | 88799.756   88799.756
         rho (h/b) |     0.649       0.649

Outcome: cap_maxsomehebrew. Running variable: distance.
--------------------------------------------------------------------------------
            Method |   Coef.    Std. Err.    z     P>|z|    [95% Conf. Interval]
-------------------+------------------------------------------------------------
      Conventional |  .26538     .10935   2.4268   0.015    .051052      .479704
    Bias-corrected |  .24999     .10935   2.2861   0.022    .035662      .464314
            Robust |  .24999     .12913   1.9360   0.053   -.003094      .503071
--------------------------------------------------------------------------------

. 
end of do-file

. log close
      name:  <unnamed>
       log:  C:\Users\cboix\Documents\SpiderOak Hive\NATIONAL IDENTITY\JEWISH NAT IDENTITY\PAPER - political emancipation and national identity\FINAL APSR VERSION\FINAL EMPIRICS\RESULTS\results 
> -- tables 1 and 2 -- including robustness tests.log
  log type:  text
 closed on:  27 Sep 2024, 11:46:06
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